[jira] [Updated] (MATH-1494) Find exponential curve fit to data using Jacquelin method

["Gilles Sadowski (Jira)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/MATH-1494?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Gilles Sadowski updated MATH-1494:
----------------------------------
    Fix Version/s:     (was: 4.0)
                   4.X

> Find exponential curve fit to data using Jacquelin method
> ---------------------------------------------------------
>
>                 Key: MATH-1494
>                 URL: https://issues.apache.org/jira/browse/MATH-1494
>             Project: Commons Math
>          Issue Type: New Feature
>            Reporter: Tom Prodehl
>            Priority: Major
>              Labels: curvefitter, exponential, fitting
>             Fix For: 4.X
>
>   Original Estimate: 336h
>          Time Spent: 10m
>  Remaining Estimate: 335h 50m
>
> Function to fit an exponential decay (negarive beta) or positive beta without initial guessing
>  Based on [https://stackoverflow.com/a/39436209/545346]
>  Original source: Regressions et Equations integrales, Jean Jacquelin
>  [https://www.scribd.com/doc/14674814/Regressions-et-equations-integrales]
> The class will allow for the usual variety of providing inputs of x and y.
> Once computed the instance can be queried for Amplitude, Beta, and Constant, defining a curve for y= Amplitude * exp(Beta * x) + Constant



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